Video image stabilizing method for space based platform hovering

Abstract

A method for stabilizing an image during suspension of a video on an air-based platform comprises the steps as follows: first, selecting a frame image in a video series as a reference frame; extracting characteristic points of a reference image and a current image of the video series by using such a characteristic extraction method as invariant scale and feature transformation; preliminarily matching the characteristics by taking a euclidean space distance as a characteristic match evidence so as to form characteristic match point pairs; further selecting the characteristic match points according to invariability of relative positions of characteristic points of an image background and removing wrong matched characteristic match point pairs and the characteristic match point pairs positioned on a movement target; performing least square calculation by using the characteristic match point pairs in a six-parameter affine transformation module so as to obtain module parameters; and performing correction compensation to the current image so as to obtain stable video series output with fixed visual field. During the process, the invention also provides an idea of changing a new reference frame with an interval of a certain number of frames, thereby reducing errors and improving the stability accuracy; and the invention can be applied to traffic monitoring, target track and other fields and has wide market prospect and application value.

Description

technical field [0001] The invention relates to an image processing method, in particular to a fixed and stable processing of hovering video images of a space-based platform, and belongs to the technical field of image processing. Background technique [0002] Image stabilization technology is widely used in civil surveying and mapping instruments, military fields and photography systems. In many camera applications, the working platform where the camera is located is usually unstable, such as shooting with a hand-held or shoulder-mounted camera, shooting scenes, scenes, targets, etc. with a camera from a moving plane, ship or car, Surveillance, etc., these places have camera platform shake problems, so image stabilization technology is required. When the telescope is used to observe the target on the moving carrier, the image sequence captured by the camera is shaken due to the vibration of the base, and the unstable image on the image plane will lead to unstable image inf...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to overcome the disadvantages of inaccurate feature extraction and matching caused by traditional feature extraction and matching algorithms when the camera angle of view, scale, and illumination change, and propose a feature extraction based on scale-invariant feature transformation The matching method is used to extract feature points, and realize the initial matching of feature points to form an initial matching point pair; first, the scale invariant feature transformation method is used to extract the feature points of the image, and then the feature points are calculated using the Euclidean distance as a similarity measure. preliminary matching; in order to achieve the effect of precise matching, the present invention proposes to use the relative position invariant feature of the background feature to carry out secondary screening on the initial matching point pair, which improves the accuracy of feature matching; , the accuracy of feature extraction and matching is reduced. The present invention proposes the idea of ​​updating the initial reference frame every certain number of frames. Every certain frame, the image that has been stabilized in the previous frame of the current image is used as a new reference frame, which improves the stability. Accuracy, improved stabilization effects, video stabilization and traffic monitoring for space-based platform hovers

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